9 Databricks Software Engineer Intern Interview Questions (2026)
Databricks' SWE intern loop in 2026 is a recruiter screen, one OA, and a two to three round virtual interview. Intern interviews cover algorithms, data structures, and one behavioral. Conversion to full-time is the primary path Databricks fills new-grad roles, so the bar on interns is treated as a future-hire signal.
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Loop overview
Intern flow: recruiter → OA (HackerRank, 60-90 min, 2-3 problems) → two or three 45-minute technical rounds. Most reports show two coding rounds plus an optional behavioral. Some senior interns with strong ML or systems backgrounds get a domain-leaning round instead of the second coding round. Timeline is typically 3-5 weeks.
Behavioral (3)
Walk me through your most challenging course project. What did you build?
Frequently askedOutline
Pick ONE project you know cold. Walk problem → design choices → implementation → results → reflections. Be ready for follow-up: 'what would you do differently' and 'what was the hardest part'. Databricks values genuine technical reflection — rehearsed answers fall flat.
Why are you interested in interning at Databricks?
Frequently askedOutline
Reference an interest in big data, ML infrastructure, or open-source data tools. If you have used Spark or pandas in a course, mention it specifically. Show you have read something — a blog post, a Spark paper, a Delta Lake doc — that demonstrates actual interest beyond company brand.
Tell me about a time you had to debug something hard. What was your process?
Occasionally askedOutline
STAR. Pick a real bug, ideally one where the root cause was non-obvious. Show your methodology: reproduce reliably, narrow down, hypothesize, verify. Be honest about what slowed you down. Databricks engineers debug constantly; they want to see structured thinkers.
Coding (LeetCode patterns) (6)
Given a string, return the longest palindromic substring it contains.
Frequently askedOutline
Expand-around-center: for each index, expand outward for both odd-length (single center) and even-length (two-center) palindromes. Track the longest seen. O(n^2) time, O(1) space. Discuss DP alternative (also O(n^2)) and Manacher's algorithm (O(n)) if asked. Walk through the two-pointer expansion clearly.
Implement a function that takes a list of integers and returns all pairs that sum to a target.
Frequently askedOutline
Hash map of value→index. Walk through the array; for each value v, check if target-v exists in the map. If yes, emit the pair. O(n) time, O(n) space. Edge cases: duplicates (decide if (a,a) is allowed), preserve original index order if asked.
Given a binary tree, determine if it is a valid binary search tree.
Frequently askedOutline
Recurse with min and max bounds. Each node must be strictly between (lower_bound, upper_bound). Recurse left with (lower, node.val) and right with (node.val, upper). O(n) time, O(h) space. Alternative: in-order traversal must yield strictly increasing values. Pick one and explain.
Given a list of integers, return the longest increasing subsequence length.
Occasionally askedOutline
Two approaches: (1) DP with dp[i] = LIS ending at i, O(n^2). (2) Binary search with a tails array — for each value, replace the first tail >= value (or append). O(n log n). Walk through the binary search variant carefully — it is the expected answer for the perf follow-up.
How would you implement a stack using two queues?
Occasionally askedOutline
Two strategies: (a) make push expensive — to push, enqueue to q2, then move all from q1 to q2, then swap. Now q1's front is the top. O(n) push, O(1) pop. (b) make pop expensive — to pop, move all but the last from q1 to q2, return the last, swap. O(1) push, O(n) pop. Discuss tradeoff with interviewer.
Implement a function that flattens a nested list of integers.
Occasionally askedOutline
Recursion: for each element, if it is a list, recurse; else append to result. Iterative alternative with a stack: push the list reversed; pop, if list push contents reversed, if int append. Walk through both, pick one to code, discuss space tradeoff.
Databricks interview tips
- The OA gates everything. Practice timed HackerRank-style problems; aim for clean code with edge cases handled in 60 minutes.
- Behavioral rounds for interns weight communication. Have a one-minute intro covering your background and why Databricks.
- Open-source contributions are not required for interns but strongly help the resume bypass — even one merged PR on a Spark-adjacent project earns recruiter attention.
- Distributed-systems intuition is not tested for interns at the same depth as new-grads. Focus prep on data structures, algorithms, and a few system-thinking conversations from the Spark or MLflow documentation.
- Intern conversion rates at Databricks are high for strong performers. Treat the internship as a 12-week extended interview — projects you ship matter more than the offer interview.
Frequently asked questions
How long is Databricks' SWE intern interview process in 2026?
Most reports show 3-5 weeks from OA to offer. Intern hiring moves faster than new-grad because there is no team-match phase.
How many rounds are in Databricks' SWE intern onsite?
Two to three virtual rounds in 2026, typically 45 minutes each. Two coding rounds plus an optional behavioral or domain round.
Does Databricks hire international SWE interns?
Yes, Databricks sponsors J-1 and F-1 OPT/CPT for interns. Confirm with your recruiter — sponsorship rules can vary by office.
What is the Databricks intern conversion rate to full-time?
Publicly reported anecdotal numbers from 2026 sit around 60-70 percent for SWE interns. Strong performers convert; weaker performers may get an offer for a different role or a return offer for the next intern cycle.
Do I need to know Spark to interview as a Databricks intern?
No. Spark knowledge is a plus but not required. The interview tests algorithms, data structures, and engineering judgment. Spark exposure helps in the behavioral round when discussing interest in the company.
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